Data Intelligence

SJR Rank #11,117H-index: 31SJR: 0.535Best quartile: Q2Open Access (Diamond, no APC)
Journal website: aims, scope and author guidelines
Publisher

Science Press

Country

China

Type

journal

SJR by Edition

2022202500.250.50.751

Subject Categories

  • Artificial IntelligenceQ2
  • Computer Science ApplicationsQ2
  • Information SystemsQ2
  • Library and Information SciencesQ2

Areas: Computer Science · Social Sciences

Most published research topics

Research Data Management PracticesTopic ModelingScientific Computing and Data ManagementData Quality and ManagementNatural Language Processing TechniquesAdvanced Graph Neural NetworksSemantic Web and OntologiesMultimodal Machine Learning ApplicationsText and Document Classification TechnologiesBiomedical Text Mining and Ontologies

Source: OpenAlex

Publication Statistics

2025 Docs3-Year DocsCitable Docs04080120160

Documents per Year

20222025015304560

Detailed Information

ISSN

2641-435X, 2096-7004

SJR Best Quartile

Q2

Region

Asiatic Region

Citations per Document (2 years)

4.50

References per Document

41.45

Coverage

2019-2025

Scope

Data Intelligence, co-sponsored by the National Science Library, Chinese Academy of Sciences and China National Publications Import & Export (Group) Corporation, is a peer-reviewed metadata centric academic journal that is targeted at data creators, data curators, data stewards, data policy makers, domain scientists and others interested in sharing data. The point of the publication is to include, but not limited to, articles discussing methodologies and/or data resources. The aim is to provide a vehicle to assist industry leaders, researchers and scientists in the sharing and reuse each other's data, metadata, knowledge bases, and data visualization tools. The journal will publish not only traditional articles, but also "data articles" with the contents in the form of knowledge graphs, ontologies, linked datasets and metadata resources. Data Intelligence aspires to introduce developing and emerging data-enabled technologies that will allow and facilitate the work of scientists to more deeply understand and extend the potential of their data. The journal maintains an academic center, a key educational channel, to offer intelligent data services and support for both machine and human to read and reuse data.

Metrics from SCImago Journal Rank 2025. View on SCImago